Impact of Low-Bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks. - Rémi Bernhard; Pierre-Alain Moëllic; Jean-Max Dutertre (CW, 2019)

Luring of Adversarial Perturbations. - Rémi Bernhard; Pierre-Alain Moëllic; Jean-Max Dutertre (CoRR, 2020)

Impact of reverberation through deep neural networks on adversarial perturbations. - Romain Cohendet; Miguel Solinas; Rémi Bernhard; Marina Reyboz; Pierre-Alain Moëllic; Yannick Bourrier; Martial Mermillod (ICMLA, 2021)

Luring Transferable Adversarial Perturbations for Deep Neural Networks. - Rémi Bernhard; Pierre-Alain Moëllic; Jean-Max Dutertre (IJCNN, 2021)

Impact of Spatial Frequency Based Constraints on Adversarial Robustness. - Rémi Bernhard; Pierre-Alain Moëllic; Martial Mermillod; Yannick Bourrier; Romain Cohendet; Miguel Solinas; Marina Reyboz (IJCNN, 2021)

An Overview of Laser Injection against Embedded Neural Network Models. - Mathieu Dumont; Pierre-Alain Moëllic; Raphael Andreoni Camponogara Viera; Jean-Max Dutertre; Rémi Bernhard (WF-IoT, 2021)

A Review of Confidentiality Threats Against Embedded Neural Network Models. - Raphaël Joud; Pierre-Alain Moëllic; Rémi Bernhard; Jean-Baptiste Rigaud (WF-IoT, 2021)